Course Details

  • Teacher
  • Category
    IT Programmes
  • Course Price
    GHC6000.00

Data Science and Business Analytics Using Python

This course provides a comprehensive foundation in data science and business analytics using Python, enabling participants to leverage data for informed decision-making and business strategy. Through hands-on projects and practical applications, participants will gain the skills needed to excel in the rapidly evolving field of data science.

Course Details

The "Data Science and Business Analytics Using Python" course is designed for professionals and aspiring data scientists who want to harness the power of Python for advanced analytics and data-driven decision-making. This course covers essential concepts, tools, and techniques in data science, equipping participants with the skills needed to extract valuable insights from data and drive business success.

Requirements

    Basic understanding of mathematics and statistics Familiarity with fundamental computer science concepts No prior knowledge of Python is required, but participants should be open to learning a new programming language

Course Syllabus

    The "Data Science and Business Analytics Using Python" course is a comprehensive 16-week program designed for professionals and aspiring data scientists. The course begins with an introduction to data science concepts and the Python programming language, providing participants with a solid foundation. Weeks 3-4 focus on data wrangling and cleaning, covering techniques for handling missing data, outliers, and data manipulation using the Pandas library. The subsequent weeks delve into exploratory data analysis (EDA) with Python, including descriptive statistics, data summarization, and visualization using Matplotlib and Seaborn.

Course Information

  • Course Price: GHC6,000
  • Class Start: Nov. 4, 2024
  • Course Duration: 5Days
  • Course Capacity: Max 30 Students
  • Class Schedule: Mondays - Fridays
  • Class Time: 8 a.m.

Location & Cohorts

  • Location: Gimpa Main
  • Cohort: Second Half Cohort

Course Reviews

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